Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Heavy-Tailed Memory Traces in Long-Horizon Language Agents
arXiv:2610.00010v1 Announce Type: new Abstract: Long-horizon language agents increasingly rely on external memory as a frozen world model, yet current…
ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents
arXiv:2609.40253v2 Announce Type: replace-cross Abstract: Online training enables computer-use agents (CUAs) to improve through interaction with executable environments. However, existing…
Does Scaling Reinforcement Learning Really Require More Training?
arXiv:2610.01133v1 Announce Type: cross Abstract: Scaling reasoning typically spends more compute on reinforcement learning (RL) or on inference. We show…
Madeleine: Learning Involuntary Recall for Conversational Memory from Simulated Lives
arXiv:2610.01118v1 Announce Type: cross Abstract: A long-term conversational assistant must recall the right memory at the right moment, yet the…
Trust the Critic More
arXiv:2609.39247v2 Announce Type: replace-cross Abstract: Standard language model RL algorithms credit every token of a long rollout with the same…
Improving OCR Faithfulness via Gated and Attenuated On-Policy Distillation
arXiv:2609.38282v1 Announce Type: new Abstract: Vision-language models may rewrite anomalous text in images into linguistically plausible expressions, compromising OCR transcription…
Gender bias across LLMs is common and highly heterogeneous
arXiv:2609.38036v2 Announce Type: replace-cross Abstract: Understanding gender biases in large language models (LLMs) is increasingly important as these systems become…
Wavelet Flow Matching for Time Series
arXiv:2609.39374v1 Announce Type: cross Abstract: Synthetic time series are increasingly used for data augmentation, privacy-preserving data sharing, and downstream model…
Ready2Blend: From Natural-Language Instructions to Composable Alignment Prompts
arXiv:2609.39365v1 Announce Type: cross Abstract: Continual alignment requires LLMs to adapt to new requirements without forgetting previously acquired behaviors. Natural-language…
Visual Parallel Search: Learning to Search High-Resolution Images with Parallel Tile Inspection and Adaptive Zoom
arXiv:2609.37002v2 Announce Type: replace-cross Abstract: High-resolution visual question answering often fails because a multimodal model does not acquire the small,…